Energent Audit independently recomputes financial analysis, traces figures to source files, identifies unsupported claims, and delivers an evidence-backed pass/fail verdict.
Trusted by 100k+ companies across the globe.
Energent Audit is an independent AI auditor that checks deliverables produced by other AI systems and automation workflows. It recomputes numbers, traces figures to the exact source file, row, and field, checks whether claims have complete comparison bases, and attaches supporting evidence to a pass/fail report. Finance, accounting, operations, procurement, engineering, and research teams can use it to review spreadsheets, PDFs, scans, CAD files, and other business documents without leaving every quality-control step to a human reviewer.
For teams evaluating financial analysis audit workflows, the core value is not simply another generated answer. It is a separate, reviewable chain showing how the answer was built, what was checked, which claims failed, and which conclusions remain evidence versus inference.
The following examples show how the audit distinguishes original figures, revised estimates, actual results, source-supported calculations, and unsupported conclusions.
The audit separated the adopted budget, estimated budget, and actual spend before assessing how forecasts influenced transfers, hiring freezes, capital reallocations, and other operational decisions. Actual spending was approximately 47% of the adopted budget, while Police spending exceeded the adopted budget by 2.4% and Trash & Sanitation exceeded it by 2.1%.
View the audit reportIn one verification example, Q1 spend was independently re-summed across 412 invoice rows and matched the deliverable total of $1,284,500. The audit also corrected an “up 18%” claim to 12.0% because the original comparison excluded Facilities, and it identified a software-growth claim with no prior-quarter source figure.
View the financial auditThe audit found 11,801 sessions missing source and campaign tags, while line-item sums aligned with total order prices and no negative prices or missing session and product IDs were found. Gross revenue rose from $83.3k to $84.8k, but net revenue declined from $80.0k to $77.0k as refunds rose from $3.2k to $7.8k. Refunds for “The Original Mr. Fuzzy” increased from 42 units to 132 units.
revenue diagnostic audit evidence can help teams separate acquisition changes from a potential post-purchase product issue. View the diagnostic reportThe financial verification example shows why a financial report verification process must check calculation bases, completeness of comparison periods, category inclusion, accrual treatment, amortization assumptions, and whether a growth claim has a supported denominator.
This is the practical distinction between a polished deliverable and a defensible one: the result must be reproducible from the cited source records.
financial due-diligence review becomes more useful when every red flag is tied to dated, source-backed evidence.These figures come from the documented financial due-diligence examples supplied for this page.
Actual spending was approximately 47% of the adopted budget.
| View | Total spend | Meaning |
|---|---|---|
| Adopted Budget | $12.41 billion | Original legal limit and target |
| Estimated Budget | $6.06 billion | Formal update based on forecasts and revisions |
| Actual Spend | $5.92 billion | Year-end actual expenditure |
Trace every number to its source file, row, field, and supporting reference.
Recompute totals, percentages, category comparisons, and other derived figures.
Identify failures before a financial deliverable reaches stakeholders.
Fix errors where possible and preserve the evidence behind the correction.
Separate observed facts, calculations, model-generated signals, and inferences.
Turn repeating checks into reusable workflows so corrections become persistent audit rules.
Provide the AI-produced report, spreadsheet, PDF, scan, or other supported source material.
What you see: your source files and deliverable ready for review.
A separate auditor retraces figures, checks calculations, tests assumptions, and compares claims with source records.
What you see: cited evidence, checked calculations, and flagged issues.
Receive a pass/fail report with supporting evidence, corrections where possible, and clear limits on what the data proves.
What you see: a reviewable audit trail and stakeholder-ready conclusion.
“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”
The video explains how an independent agent retraces figures to their sources, verifies the work, and produces a report that can be reviewed.
| Decision dimension | Energent Audit | Manual review | Unaudited AI output |
|---|---|---|---|
| Independent second check | Separate AI auditor checks the deliverable | Human reviewer performs the check | No independent verification described |
| Calculation verification | Recomputes figures and derived claims | Depends on reviewer process | Generated result is not automatically recomputed |
| Source traceability | File, row, field, and evidence trail | Depends on documentation discipline | Not assured by the output alone |
| Verdict format | Evidence-backed pass/fail report | Reviewer conclusion | Answer or deliverable without an audit verdict |
Accuracy on a published HuggingFace leaderboard, according to company information
File types supported
Fewer hallucinations in public evaluations, according to the company
Clients worldwide, according to company information
Run an independent audit before a financial deliverable becomes someone else’s problem.